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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Responses of urban reef corals during the 2016 mass bleaching event

Research datakeyboard_double_arrow_right Dataset 01 Apr 2020Publisher:Zenodo
Authors: Ng, Chin Soon Lionel; Huang, Danwei; Toh, Kok Ben; Sam, Shu Qin; Kikuzawa, Yuichi Preslie; Toh, Tai Chong; Taira, Daisuke; +7 Authors

doi: 10.5281/zenodo.3724494 , 10.5281/zenodo.3724493

Responses of urban reef corals during the 2016 mass bleaching event

Abstract

Datasets and R scripts 60Taxa.csv : 60 species with 5 or more colonies over study duration, and documented in all monitoring periods SGBleachAllSites.csv : Survey data of all coral species for all time points and locations, showing respective colour scores, live area and GMD of each colony SGBleachChronogram.tre : Phylogenetic tree for 60 species extracted from Kitahara et al. (2016) SGBleachCode.R : R script for analysing bleaching prevalence, susceptibility and resilience SGBleachJun2016.csv : Bleaching prevalence of all sites in June 2016 SGBleachModel.csv : Bleaching Index and traits of the 60 species; analysed for susceptibility and resilience

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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